This paper focuses on women's participation in the Chilean labor market at a regional level. Traditional methods use region-by-region analyses based on assumptions that perturbances are uncorrelated across regions and, most often, that they share identical determinants. Our research shows that both assumptions are inadequate for describing the data. We thus propose a full-information estimator based on a combination of seemingly unrelated regressions (SURE) and Logit techniques.